Sentences with phrase «statistical modeling controlling»

Not exact matches

It speaks of operations research, systems analysis, technological forecasting, information theory, game theory, simulation techniques, decision theory, Delphi method, cross-impact matrix analysis, statistical time - series, stochastic models, linear programming, input - output economics, computer based command and control systems, and so on.
Numerous conditions render a pregnancy «high - risk», and the attempt to control for them all led to a model containing 27 covariates, which introduced the possibility of statistical problems such as collinearity.
The reliability and stability of these methods were described by Wu et al. 27 Illumina tag sequencing of the 16S rRNA gene V4 - V5 hypervariable region was performed at the Marine Biological Laboratory in Woods Hole, Massachusetts, using established methods.28, 29 Details of sequencing methods, quality control and filtering, and statistical modeling are presented in the eAppendix in the Supplement.
«If we know how genes control drug response, we can create a statistical model that shows us what will happen before using the drug,» said Wu, who is also a member of Penn State's Huck Institutes of the Life Sciences.
The statistical model examined low -, moderate - and high - risk births from mothers supplemented with DHA during pregnancy as compared to placebo controls.
The researchers used this information in statistical models to compare the control group — farmers who had never used the pesticide in question — to those who had used it, and to compare the frequency of either allergic or non-allergic wheeze.
Statistical group analyses were based on a factorial repeated ANOVA SPM8 model with two groups (marijuana abusers and controls) and two conditions (placebo and MP) and a covariate [parts per million levels of carbon monoxide (CO), a marker for tobacco smoking (40)-RSB-.
My research combines the use of mathematical models and statistical methods to understand the transmission dynamics and control of a range of infectious diseases of humans and animals.
Almost all statistical tests for comparing control vs condition style experiments (differential expression) use generalized linear models assuming count data with these kinds of distributions.
In this article, we demonstrate that failing to consider plate effects in the statistical model results in loss of type I error control.
Third, in the statistical models for their NAEP analysis, the authors use measures of student participation in government - sponsored programs as key control variables.
As it turns out, the standard errors are larger, not smaller, when estimating statistical models that include all students but do not control for baseline test scores.
With value added, «statistical models can control for these demographic factors [that you cite above as issues].
Even when statistical models try to control for student - demographic variables, teachers are advantaged or disadvantaged based on the students they teach.
Student Growth Percentile (SGP): The SGP model is traditionally not considered a VAM mainly because it does not use as many sophisticated statistical controls.
This is in part because there are many other influences on student gains other than individual teachers, and in part because teachers» value - added ratings are affected by differences in the students who are assigned to them, even when statistical models try to control for student demographic variables.
Confounding might occur because the statistical model doesn't measure or properly control for all the factors that contribute to student achievement.
Third, value - added models use statistical controls to make allowances for students» backgrounds and abilities.
Value - added models are statistical models that generally try to isolate the contributions to student test scores by individual teachers or schools from factors outside the school's or teacher's control.
While some research suggests value - added models are subject to bias and statistical limitations, [2] rich data and strong controls can eliminate error and bias.
I would add poor understanding of appropriate statistical methods, inattention to scale issues, and lack of existing, appropriate empirical data with which to test proposed models, the latter usually being beyond the control of the researcher.
The raw MIT model, observational and AOGCM control run data was processed to match the specifications of the three diagnostics before the statistical inference methods were applied.
The revised model represented statistical relationships between annual runoff and winter precipitation, forest basal area reductions and time since treatment, but these relationships were not necessarily related to physical processes or functions that control water balance [20].
Akaike, H 1974, «A new look at the statistical model identification», IEEE Transactions on Automatic Control, vol.
Two separate moderated regression models were tested for each indicator of quality of life using the SPSS 17.0 statistical software package; one model tested the moderating role of marital quality in the effects of self - reported (subjective) vision controlling for visual acuity (objective vision) and the second tested the same in the effects of objective vision controlling for subjective vision.
The best - fitting estimates of the sibling control and statistical covariate model are based on parameter estimates from model 4.
To determine which risk and resistance variables independently predicted metabolic control, we entered the statistical control variables followed by self - care behavior and the three significant psychosocial predictors (friend support, drive for thinness by sex, and parent relationship by sex) into a single model to predict metabolic control.
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